Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Tech Xplore on MSN
Programmable metasurface generates dozens of holograms at once
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
Abstract: This article proposes a low-carbon operation analysis method for micro grids based on improved particle swarm optimization algorithm. Corresponding improvements have been made to the inertia ...
Abstract: The performance of the particle swarm optimization (PSO) algorithm is known to be sensitive to the values of its control parameters. Parameter tuning is thus an important aspect in ...
Until recently, the dominant method to manufacture a moving machine, be it an aircraft, a spacecraft, or a submarine, was to ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Tech race moves from AI to factories, hospitals, and power grids: World Economic Forum and Frontiers reveal Top 10 Emerging Technologies of 2026 In the Top 10 Emerging Technologies of 2026 report ...
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